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This chapter presents the inferential methods for making comparisons between the parameters of two populations.
Though not intended as such, Mr. Penderecki's imaginatively scored piano concerto proved a good work for making comparisons.
The results obtained in our previous work [1], in which Si<100> wafers were used, were adopted for making comparisons.
Furthermore, the method provides an absolute measure of nonlinearity and therefore does not require a baseline data set for making comparisons.
If they do, they are important for making comparisons with computer simulations of the formation of galaxies, which typically predict a larger number of clumps of dark matter than observed.
Index numbers permit to study the fluctuations or variations of a variable or more variables over time, providing a powerful measurement for making comparisons and predictions of the analyzed concept.
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Two types of drilling, three steps-laser drilling (TSLD) method and the one step laser drilling (OSLD), were employed for making comparison.
Independent t-test /Mann-Whitney U test was used for making comparison among the independent groups.
The value of the later transformed score method (i.e., % SM) is that it can be used for making comparison with other scales [ 52].
The value of the %SM measure is that it can be used for making comparison with the scale scores of other questionnaires [ 53].
Studies reported retention rates for different timeframes making comparisons difficult.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com